Relatability

People remember funny, relevant, or relatable things way more than abstract definitions.
Want someone to understand anything you're teaching?
Relate it to them. It’s that simple.

💡 What this means:

  • Every topic should connect to something real – a meme, a pop culture reference, or a trending app.

  • Use analogies to explain complex ideas (e.g., “Neural networks are like making pancakes – lots of trial and error before you get it right”).

  • Make it personal – ask people about their experiences and how the topic relates to their lives.

🔍 Ask yourself:

✅ Can you replace a boring example with something cooler?
✅ Is the explanation fun without being dumbed down?
✅ Are you using analogies to make complex ideas easier to grasp?

🎯 Example:

Instead of defining recommendation algorithms, ask:
“What’s the weirdest thing YouTube has ever recommended to you?”

Then, explain how AI tracks user behaviour to push content.
For example, if you watch one Gordon Ramsay video, YouTube thinks you thrive on watching him lose his mind over raw chicken at 2 AM, as if your life depends on it. 😭😂🍗

Gordon Ramsay relatability example

🧪 Real-world examples

No exceptions – even the “technical” stuff should feel personal.

YouTube AI Algorithm Example
Example: Demonstrate the applications of AI via the YouTube algorithm and doomscrolling (AI Workshop)
Clock vs Compass CNN Analogy
Example: Demonstrate the behaviours of CNNs by determining the difference between a clock and a compass (AI Workshop)